An organization aims to improve transparency and trust in its AI systems. Stakeholders request documentation outlining model purpose, limitations, risks, and performance characteristics. Which artifact should the project manager ensure is created and maintained?

• A.Data pipeline diagram
• B.Model card
• C.Source code repository
• D.Deployment script

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An AI solution performs well in testing but fails after deployment due to differences between training data and real-world production data. The team identifies discrepancies in feature distributions across environments. What is the primary issue affecting performance?

• A.Data drift between environments
• B.Model bias
• C.Underfitting
• D.Hardware constraints

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Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:

• A.Decide if it's a statistics pattern. If it's statistical then go with the AI project.
• B.Decide if it's probabilistic or deterministic patterns. If it's deterministic then go with the AI project.
• C.See if simple rules work. If yes, then pick the right AI solution to solve the problem.
• D.Decide if it's probabilistic or deterministic patterns. If it's probabilistic then go with the AI project.

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A company needs to launch an AI application quickly to be the first to the market. The project team has decided to use pretrained models for their current AI project iteration. What is a key result of leveraging pretrained models?

• A.The project can face unexpected scalability challenges.
• B.The custom project development time can increase due to adjustments.
• C.The team can see a reduction in the overall project timeline.
• D.The team can encounter compatibility issues with existing systems.

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A telecommunications company is preparing data for an AI tool. The project team needs to ensure the data is in the right shape and format for model training. In addition, they are working with a mix of structured and unstructured data. Which method will address the project team's objectives?

• A.Separating structured and unstructured data into different databases
• B.Converting unstructured data into structured formats
• C.Using a hybrid storage system for both data types
• D.Employing a data transformation tool to standardize formats

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